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Mapping knowledge and innovation research themes: using bibliometrics for classification, evolution, proliferation and determinism

Powell, Taman, Kouropalatis, Yiannis, Morgan, Robert E. and Karhu, Paivi 2016. Mapping knowledge and innovation research themes: using bibliometrics for classification, evolution, proliferation and determinism. International Journal of Entrepreneurship and Innovation Management 20 (3/4) , pp. 174-199. 10.1504/IJEIM.2016.077960

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Abstract

We employ bibliometric techniques to map the intellectual foundations, patterns, interdependence, and chronological development of research themes within the knowledge and innovation literature. Specifically we: measure the temporal development of this literature; identify themes and sub-themes underlying the published output and examine the residual impact of each to extant research; and, we illustrate the extent of independence and interdependence among the identified themes. We analyze a census of articles (n > 4,500) published during 1992 - 2012 in business management journals and identify an eight-cluster structure representing 88% of the variation within the data. To further interrogate the data, we mine the first cluster, as the dominant theme, and reveal seven sub-themes that clearly indicate the focal nodes of research in the knowledge and innovation domain. We provide a series of findings that address our research objectives and offer several implications for future research, which are tempered with our empirical limitations.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Uncontrolled Keywords: knowledge, innovation, literature, bibliometrics, review
Publisher: Inderscience
ISSN: 1368-275X
Last Modified: 10 Jul 2019 08:25
URI: http://orca.cf.ac.uk/id/eprint/89876

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